Bao Rong Chang
ABSTRACT
This paper aims to realize high effective remote cloud datacenter backup using Thrift Java on NoSQL database HBase and Cassandra. The binary communications protocol technology from Apache Thrift is employed to ease data manipulation. A stress test has been taken on strictly data reading/writing and remote backup of a vast amount of data, verifying the high performance of proposed method. In order to optimize the traffic flow of remote data center backup, adaptive network-based fuzzy inference system (ANFIS) along with particle swarm optimization (PSO) has been employed off-line to tune seamless handoff and network traffic flow. Finally, performance index has been evaluated for several benchmark databases including two above-mentioned databases. As a result, the proposed HBase approach outperforms the other databases.
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Index Terms
- Intelligent Adaptation to in-Cloud NoSQL Database Remote Backup between Data Centers
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